diff --git a/easyocr/recognition.py b/easyocr/recognition.py
index 530ef9517e2..4fc817ade60 100644
--- a/easyocr/recognition.py
+++ b/easyocr/recognition.py
@@ -100,6 +100,9 @@ def recognizer_predict(model, converter, test_loader, batch_max_length,\
                        ignore_idx, char_group_idx, decoder = 'greedy', beamWidth= 5, device = 'cpu'):
     model.eval()
     result = []
+    preds_str = []
+    preds_max_prob = []
+    
     with torch.no_grad():
         for image_tensors in test_loader:
             batch_size = image_tensors.size(0)
@@ -144,6 +147,7 @@ def recognizer_predict(model, converter, test_loader, batch_max_length,\
                 else:
                     preds_max_prob.append(np.array([0]))
 
+            
             for pred, pred_max_prob in zip(preds_str, preds_max_prob):
                 confidence_score = custom_mean(pred_max_prob)
                 result.append([pred, confidence_score])
@@ -217,8 +221,11 @@ def get_text(character, imgH, imgW, recognizer, converter, image_list,\
                         num_workers=int(workers), collate_fn=AlignCollate_contrast, pin_memory=True)
         result2 = recognizer_predict(recognizer, converter, test_loader, batch_max_length,\
                                      ignore_idx, char_group_idx, decoder, beamWidth, device = device)
-
+    recognizer.eval()
     result = []
+    
+    if not test_loader:
+        return result
     for i, zipped in enumerate(zip(coord, result1)):
         box, pred1 = zipped
         if i in low_confident_idx: